RedHub AI
How the gate works
How the Model & System Card gate works
This tool grades a model or system card you wrote, before you publish it. It scores 7 weighted controls into a 0–100 number — then a gate that can only make the verdict worse.
The 7 weighted controls
A card that makes a performance or fairness claim it doesn't back with named evidence is NOT PUBLISHABLE however complete it looks. An unevidenced claim misleads the reader, so it overrides the completeness score — the gate can only make the verdict worse. Silence isn't dishonesty: a card that makes no claim is graded on completeness alone.
Why: This card is 86% complete — six of seven sections are fully disclosed, and on the number alone it would read PUBLISHABLE. But it makes a performance claim while the performance section is only thin and the training-data provenance isn't fully disclosed, so the claim isn't backed by named evidence. An unevidenced claim overrides the score: the card is NOT PUBLISHABLE until the performance claim is substantiated or dropped.
A high score didn’t save it. The score is context; the gate is the answer — and it names the one thing to fix first. A working aid, not legal advice. It grades the card you write from your own marks and claim declarations — it doesn't verify your disclosures are true, test the model, or guarantee any transparency regulation is met. It grades the card, not the model's quality and not any person. Confirm any mandatory transparency or instructions-for-use obligation with a qualified auditor or counsel.